Battery capacity estimation device, method and program
US-2020284842-A1 · Sep 10, 2020 · US
US12044743B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12044743-B2 |
| Application number | US-202017765521-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 2, 2020 |
| Priority date | Oct 3, 2019 |
| Publication date | Jul 23, 2024 |
| Grant date | Jul 23, 2024 |
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An estimation device includes: a deriving unit ( 31 ) that derives a derivation history based on a current and a voltage of a lead-acid battery and a temperature of the lead-acid battery; a specifying unit 31 that specifies at least two degrees of a first degree of softening of a positive electrode material, a second degree of corrosion of a positive electrode grid, a third degree of negative electrode sulfation, and a fourth degree of shrinkage of a negative electrode material based on the derived derivation history and at least two relationships selected from the group consisting of: a first relationship between a first history based on the current, the voltage, and the temperature of the lead-acid battery, and the first degree; a second relationship between a second history and the second degree; a third relationship between a third history and the third degree; and a fourth relationship between a fourth history and the fourth degree; and an estimating unit ( 31 ) that estimates a degree of deterioration of the lead-acid battery based on the specified at least two degrees.
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The invention claimed is: 1. An estimation device comprising: a deriving unit that derives a derivation history based on a current and a voltage of a first lead-acid battery and a temperature of the first lead-acid battery acquired at an estimation time point; a specifying unit that specifies at least two degrees of a first degree of softening of a positive electrode material, a second degree of corrosion of a positive electrode grid, a third degree of negative electrode sulfation, and a fourth degree of shrinkage of a negative electrode material based on the derived derivation history and at least two relationships selected from the group consisting of: a first relationship, which is obtained in advance, between a first history based on a current, a voltage, and a temperature of a second lead-acid battery which is different from the first lead-acid battery, and the first degree; a second relationship, which is obtained in advance, between a second history based on a current, a voltage, and a temperature of a third lead-acid battery which is different from the first lead-acid battery and the same as or different from the second lead-acid battery, and the second degree; a third relationship, which is obtained in advance, between a third history based on a current, a voltage, and a temperature of a fourth lead-acid battery which is different from the first lead-acid battery and the same as or different from the second and third lead-acid batteries, and the third degree; and a fourth relationship, which is obtained in advance, between a fourth history based on a current, a voltage, and a temperature of a fifth lead-acid battery which is different from the first lead-acid battery and the same as or different from the second, third and fourth lead-acid batteries, and the fourth degree; and an estimating unit that estimates a degree of deterioration of the first lead-acid battery based on the specified at least two degrees. 2. The estimation device according to claim 1 , wherein, when the derivation history based on the current and the voltage of the first lead-acid battery and the temperature of the first lead-acid battery is input, the specifying unit specifies at least two degrees of the first degree, the second degree, the third degree, and the fourth degree by inputting the derived derivation history to a first learning model that outputs the at least two degrees, and wherein, when at least two degrees of the first degree, the second degree, the third degree, and the fourth degree are input, the estimating unit inputs the specified at least two degrees to a second learning model that outputs the degree of deterioration of the first lead-acid battery to estimate the degree of deterioration. 3. The estimation device according to claim 1 , wherein the derivation history includes an effective discharge capacity obtained by correcting a discharge capacity with a coefficient based on a temperature, an effective charge capacity obtained by correcting a charge capacity with a coefficient based on a temperature, or a temperature integrated value obtained by multiplying a temperature by a predetermined coefficient and integrating the temperature. 4. The estimation device according to claim 1 , wherein the specifying unit specifies the at least two degrees based on the derivation history and design information of at least either one of the second to fifth lead-acid batteries. 5. The estimation device according to claim 4 , wherein the design information is at least one selected from the group consisting of a number of plates, an amount of a positive active material, a mass of a positive electrode grid, a thickness of the positive electrode grid, a design of the positive electrode grid, a density of a positive electrode material, a composition of the positive electrode material, an amount and a type of an additive in the positive electrode material, a composition of a positive electrode alloy, a presence or absence, a thickness, a material and an air permeability of nonwoven fabric abutting on a positive electrode plate, an amount of a negative active material, an amount and a type of carbon in the negative active material, an amount and a type of an additive in a negative electrode material, a specific surface area of the negative electrode material, a type and a concentration of an additive of an electrolyte solution, and a specific gravity and an amount of the electrolyte solution. 6. The estimation device according to claim 1 , wherein the estimating unit estimates the degree of deterioration based on the at least two degrees and diagnosis information of at least either one of the second to fifth lead-acid batteries. 7. The estimation device according to claim 6 , wherein the diagnosis information is at least one selected from the group consisting of an internal resistance, an open circuit voltage, and an SOC. 8. The estimation device according to claim 6 , further comprising: a storage unit that stores the derivation history and the degree of deterioration or the diagnosis information specified by the specifying unit; and a history erasing unit that erases the derivation history and the degree of deterioration or the diagnosis information when it is estimated that the first lead-acid battery has been replaced based on the degree of deterioration or the diagnosis information and a threshold. 9. An estimation device comprising: a deriving unit that derives a derivation history based on a current and a voltage of a lead-acid battery and a temperature of the lead-acid battery; a specifying unit that specifies, when the derivation history based on the current and the voltage of the lead-acid battery and the temperature of the lead-acid battery is input, at least two degrees of a first degree of softening of a positive electrode material, a second degree of corrosion of a positive electrode grid, a third degree of negative electrode sulfation, and a fourth degree of shrinkage of a negative electrode material by inputting the derived derivation history to a first learning model that outputs the at least two degrees; and an estimating unit that estimates a degree of deterioration of the lead-acid battery based on the specified at least two degrees, wherein, when at least two degrees of the first degree, the second degree, the third degree, and the fourth degree are input, the estimating unit inputs the specified at least two degrees to a second learning model that outputs the degree of deterioration of the lead-acid battery to estimate the degree of deterioration. 10. An estimation method comprising: deriving a derivation history based on a current and a voltage of a first lead-acid battery and a temperature of the first lead-acid battery acquired at an estimation time point; specifying at least two degrees of a first degree of softening of a positive electrode material, a second degree of corrosion of a positive electrode grid, a third degree of negative electrode sulfation, and a fourth degree of shrinkage of a negative electrode material based on the derived derivation history and at least two relationships selected from the group consisting of: a first relationship, which is obtained in advance, between a first history based on a current, a voltage, and a temperature of a second lead-acid battery which is different from the first lead-acid battery, and the first degree; a second relationship, which is obtained in advance, between a second history based on a current, a voltage, and a temperature of a third lead-acid battery which is different from the first lead-acid battery and the same as or different from the second lead-acid battery, and the second degree; a third relationship, which is obtained in advance, between a
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